These visualizations should help researchers figure out how to back-trace neural network decisions, sort of like an inside-out map. You can check out the rest of the images and learn more about ...

Neural network dropout is a technique that can be used during training. It is designed to reduce the likelihood of model overfitting. You can think of a neural network as a complex math equation that ...

Wrapping Up Python has been used for many years, and it seems as if Python is becoming the most common language for accessing sophisticated neural network libraries such as CNTK, TensorFlow and others ...